Average TLE for each genotype at each nursery

Specific growth rates of each genotype at each nursery

## coral_id = 100*:
##  contrast       estimate          SE      df t.ratio p.value
##  BIM - NAS -2.033192e-03 0.002012710 1112.68  -1.010  0.7435
##  BIM - CEI -5.275326e-03 0.001767457 1228.41  -2.985  0.0153
##  BIM - CAT -4.604430e-03 0.001909909 1004.76  -2.411  0.0757
##  NAS - CEI -3.242134e-03 0.001288704  565.02  -2.516  0.0586
##  NAS - CAT -2.571238e-03 0.001478042  437.87  -1.740  0.3044
##  CEI - CAT  6.708958e-04 0.001121386  322.76   0.598  0.9325
## 
## coral_id = 101*:
##  contrast       estimate          SE      df t.ratio p.value
##  BIM - NAS -6.011276e-03 0.002157326 1183.96  -2.786  0.0277
##  BIM - CEI -8.541967e-03 0.001930532 1293.68  -4.425  0.0001
##  BIM - CAT -8.238266e-03 0.002060405 1095.77  -3.998  0.0004
##  NAS - CEI -2.530691e-03 0.001288704  565.02  -1.964  0.2031
##  NAS - CAT -2.226990e-03 0.001476169  435.71  -1.509  0.4332
##  CEI - CAT  3.037014e-04 0.001118916  319.83   0.271  0.9930
## 
## coral_id = 125:
##  contrast       estimate          SE      df t.ratio p.value
##  BIM - NAS -5.372794e-03 0.002012710 1112.68  -2.669  0.0385
##  BIM - CEI -8.639377e-03 0.001767457 1228.41  -4.888  <.0001
##  BIM - CAT -8.737047e-03 0.001908460 1003.16  -4.578  <.0001
##  NAS - CEI -3.266583e-03 0.001288704  565.02  -2.535  0.0558
##  NAS - CAT -3.364253e-03 0.001476169  435.71  -2.279  0.1045
##  CEI - CAT -9.766998e-05 0.001118916  319.83  -0.087  0.9998
## 
## coral_id = 126*:
##  contrast       estimate          SE      df t.ratio p.value
##  BIM - NAS -2.628072e-03 0.002012710 1112.68  -1.306  0.5594
##  BIM - CEI -4.520036e-03 0.001767457 1228.41  -2.557  0.0520
##  BIM - CAT -4.316095e-03 0.001908460 1003.16  -2.262  0.1079
##  NAS - CEI -1.891964e-03 0.001288704  565.02  -1.468  0.4576
##  NAS - CAT -1.688023e-03 0.001476169  435.71  -1.144  0.6628
##  CEI - CAT  2.039408e-04 0.001118916  319.83   0.182  0.9978
## 
## coral_id = 133:
##  contrast       estimate          SE      df t.ratio p.value
##  BIM - NAS -7.473825e-03 0.002012710 1112.68  -3.713  0.0012
##  BIM - CEI -1.210872e-02 0.001767457 1228.41  -6.851  <.0001
##  BIM - CAT -6.650056e-03 0.001908460 1003.16  -3.485  0.0029
##  NAS - CEI -4.634894e-03 0.001288704  565.02  -3.597  0.0020
##  NAS - CAT  8.237699e-04 0.001476169  435.71   0.558  0.9443
##  CEI - CAT  5.458664e-03 0.001118916  319.83   4.879  <.0001
## 
## coral_id = 134:
##  contrast       estimate          SE      df t.ratio p.value
##  BIM - NAS -4.623339e-03 0.002012710 1112.68  -2.297  0.0993
##  BIM - CEI -7.687183e-03 0.001767457 1228.41  -4.349  0.0001
##  BIM - CAT -1.600788e-03 0.001908460 1003.16  -0.839  0.8360
##  NAS - CEI -3.063844e-03 0.001288704  565.02  -2.377  0.0826
##  NAS - CAT  3.022551e-03 0.001476169  435.71   2.048  0.1723
##  CEI - CAT  6.086395e-03 0.001118916  319.83   5.440  <.0001
## 
## coral_id = 42:
##  contrast       estimate          SE      df t.ratio p.value
##  BIM - NAS -2.453453e-03 0.002378894 1257.61  -1.031  0.7311
##  BIM - CEI -3.459071e-03 0.002175325 1344.69  -1.590  0.3846
##  BIM - CAT -3.075479e-03 0.002291365 1194.37  -1.342  0.5361
##  NAS - CEI -1.005618e-03 0.001288704  565.02  -0.780  0.8634
##  NAS - CAT -6.220260e-04 0.001476169  435.71  -0.421  0.9748
##  CEI - CAT  3.835923e-04 0.001118916  319.83   0.343  0.9861
## 
## coral_id = 43:
##  contrast       estimate          SE      df t.ratio p.value
##  BIM - NAS -5.816761e-03 0.002012710 1112.68  -2.890  0.0205
##  BIM - CEI -8.109500e-03 0.001804798 1197.32  -4.493  <.0001
##  BIM - CAT -1.051001e-02 0.001908460 1003.16  -5.507  <.0001
##  NAS - CEI -2.292739e-03 0.001339459  554.84  -1.712  0.3185
##  NAS - CAT -4.693254e-03 0.001476169  435.71  -3.179  0.0086
##  CEI - CAT -2.400514e-03 0.001177016  329.66  -2.039  0.1757
## 
## coral_id = 44:
##  contrast       estimate          SE      df t.ratio p.value
##  BIM - NAS -3.847552e-03 0.002012710 1112.68  -1.912  0.2237
##  BIM - CEI -6.570596e-03 0.001767457 1228.41  -3.718  0.0012
##  BIM - CAT -6.399821e-03 0.001908460 1003.16  -3.353  0.0046
##  NAS - CEI -2.723044e-03 0.001288704  565.02  -2.113  0.1502
##  NAS - CAT -2.552270e-03 0.001476169  435.71  -1.729  0.3099
##  CEI - CAT  1.707746e-04 0.001118916  319.83   0.153  0.9987
## 
## coral_id = 45:
##  contrast       estimate          SE      df t.ratio p.value
##  BIM - NAS -3.134460e-03 0.002157326 1183.96  -1.453  0.4666
##  BIM - CEI -5.408266e-03 0.001930532 1293.68  -2.801  0.0265
##  BIM - CAT -3.818640e-03 0.002060405 1095.77  -1.853  0.2491
##  NAS - CEI -2.273806e-03 0.001288704  565.02  -1.764  0.2917
##  NAS - CAT -6.841797e-04 0.001476169  435.71  -0.463  0.9669
##  CEI - CAT  1.589626e-03 0.001118916  319.83   1.421  0.4873
## 
## coral_id = 49:
##  contrast       estimate          SE      df t.ratio p.value
##  BIM - NAS -2.003768e-03 0.002012710 1112.68  -0.996  0.7520
##  BIM - CEI -5.830843e-03 0.001774853 1222.36  -3.285  0.0058
##  BIM - CAT -4.239750e-03 0.001908460 1003.16  -2.222  0.1181
##  NAS - CEI -3.827076e-03 0.001298830  562.87  -2.947  0.0176
##  NAS - CAT -2.235982e-03 0.001476169  435.71  -1.515  0.4295
##  CEI - CAT  1.591094e-03 0.001130564  321.89   1.407  0.4956
## 
## coral_id = 51:
##  contrast       estimate          SE      df t.ratio p.value
##  BIM - NAS -1.849198e-03 0.002012710 1112.68  -0.919  0.7948
##  BIM - CEI -1.482566e-03 0.001767457 1228.41  -0.839  0.8359
##  BIM - CAT -2.998129e-03 0.001908460 1003.16  -1.571  0.3958
##  NAS - CEI  3.666326e-04 0.001288704  565.02   0.284  0.9920
##  NAS - CAT -1.148930e-03 0.001476169  435.71  -0.778  0.8643
##  CEI - CAT -1.515563e-03 0.001118916  319.83  -1.354  0.5289
## 
## coral_id = 52:
##  contrast       estimate          SE      df t.ratio p.value
##  BIM - NAS -6.127458e-03 0.002012710 1112.68  -3.044  0.0127
##  BIM - CEI -6.070006e-03 0.001767457 1228.41  -3.434  0.0034
##  BIM - CAT -5.838338e-03 0.001908460 1003.16  -3.059  0.0122
##  NAS - CEI  5.745148e-05 0.001288704  565.02   0.045  1.0000
##  NAS - CAT  2.891196e-04 0.001476169  435.71   0.196  0.9973
##  CEI - CAT  2.316682e-04 0.001118916  319.83   0.207  0.9969
## 
## coral_id = 53:
##  contrast       estimate          SE      df t.ratio p.value
##  BIM - NAS -1.622877e-03 0.002012710 1112.68  -0.806  0.8515
##  BIM - CEI -2.285055e-03 0.001767457 1228.41  -1.293  0.5677
##  BIM - CAT -3.422904e-04 0.001908460 1003.16  -0.179  0.9980
##  NAS - CEI -6.621783e-04 0.001288704  565.02  -0.514  0.9558
##  NAS - CAT  1.280586e-03 0.001476169  435.71   0.868  0.8216
##  CEI - CAT  1.942764e-03 0.001118916  319.83   1.736  0.3066
## 
## coral_id = 54:
##  contrast       estimate          SE      df t.ratio p.value
##  BIM - NAS -2.480340e-03 0.002012710 1112.68  -1.232  0.6064
##  BIM - CEI -1.029240e-03 0.001767457 1228.41  -0.582  0.9374
##  BIM - CAT -2.113925e-03 0.001908460 1003.16  -1.108  0.6849
##  NAS - CEI  1.451100e-03 0.001288704  565.02   1.126  0.6736
##  NAS - CAT  3.664155e-04 0.001476169  435.71   0.248  0.9946
##  CEI - CAT -1.084685e-03 0.001118916  319.83  -0.969  0.7670
## 
## coral_id = 55:
##  contrast       estimate          SE      df t.ratio p.value
##  BIM - NAS -3.443171e-03 0.002012710 1112.68  -1.711  0.3185
##  BIM - CEI -4.557350e-03 0.001767457 1228.41  -2.578  0.0492
##  BIM - CAT -4.181205e-03 0.001908460 1003.16  -2.191  0.1264
##  NAS - CEI -1.114179e-03 0.001288704  565.02  -0.865  0.8231
##  NAS - CAT -7.380334e-04 0.001476169  435.71  -0.500  0.9590
##  CEI - CAT  3.761456e-04 0.001118916  319.83   0.336  0.9869
## 
## coral_id = 94:
##  contrast       estimate          SE      df t.ratio p.value
##  BIM - NAS -6.464016e-03 0.002012710 1112.68  -3.212  0.0074
##  BIM - CEI -4.192770e-03 0.001767457 1228.41  -2.372  0.0830
##  BIM - CAT -2.390136e-03 0.001908460 1003.16  -1.252  0.5936
##  NAS - CEI  2.271246e-03 0.001288704  565.02   1.762  0.2927
##  NAS - CAT  4.073880e-03 0.001476169  435.71   2.760  0.0306
##  CEI - CAT  1.802634e-03 0.001118916  319.83   1.611  0.3738
## 
## coral_id = 95:
##  contrast       estimate          SE      df t.ratio p.value
##  BIM - NAS -2.949164e-03 0.002012710 1112.68  -1.465  0.4590
##  BIM - CEI -4.120689e-03 0.001773336 1229.64  -2.324  0.0932
##  BIM - CAT -9.607434e-04 0.001908460 1003.16  -0.503  0.9583
##  NAS - CEI -1.171526e-03 0.001296756  572.66  -0.903  0.8030
##  NAS - CAT  1.988420e-03 0.001476169  435.71   1.347  0.5335
##  CEI - CAT  3.159946e-03 0.001128181  327.57   2.801  0.0275
## 
## coral_id = 96:
##  contrast       estimate          SE      df t.ratio p.value
##  BIM - NAS -7.005596e-03 0.002012710 1112.68  -3.481  0.0029
##  BIM - CEI -6.620238e-03 0.001767457 1228.41  -3.746  0.0011
##  BIM - CAT -4.099512e-03 0.001908460 1003.16  -2.148  0.1388
##  NAS - CEI  3.853579e-04 0.001288704  565.02   0.299  0.9907
##  NAS - CAT  2.906084e-03 0.001476169  435.71   1.969  0.2015
##  CEI - CAT  2.520726e-03 0.001118916  319.83   2.253  0.1115
## 
## P value adjustment: tukey method for comparing a family of 4 estimates
## coral_id = 100*:
##  contrast       estimate          SE      df t.ratio p.value
##  BIM - NAS -2.033192e-03 0.002012710 1112.68  -1.010  0.7435
##  BIM - CEI -5.275326e-03 0.001767457 1228.41  -2.985  0.0153
##  BIM - CAT -4.604430e-03 0.001909909 1004.76  -2.411  0.0757
##  NAS - CEI -3.242134e-03 0.001288704  565.02  -2.516  0.0586
##  NAS - CAT -2.571238e-03 0.001478042  437.87  -1.740  0.3044
##  CEI - CAT  6.708958e-04 0.001121386  322.76   0.598  0.9325
## 
## coral_id = 101*:
##  contrast       estimate          SE      df t.ratio p.value
##  BIM - NAS -6.011276e-03 0.002157326 1183.96  -2.786  0.0277
##  BIM - CEI -8.541967e-03 0.001930532 1293.68  -4.425  0.0001
##  BIM - CAT -8.238266e-03 0.002060405 1095.77  -3.998  0.0004
##  NAS - CEI -2.530691e-03 0.001288704  565.02  -1.964  0.2031
##  NAS - CAT -2.226990e-03 0.001476169  435.71  -1.509  0.4332
##  CEI - CAT  3.037014e-04 0.001118916  319.83   0.271  0.9930
## 
## coral_id = 125:
##  contrast       estimate          SE      df t.ratio p.value
##  BIM - NAS -5.372794e-03 0.002012710 1112.68  -2.669  0.0385
##  BIM - CEI -8.639377e-03 0.001767457 1228.41  -4.888  <.0001
##  BIM - CAT -8.737047e-03 0.001908460 1003.16  -4.578  <.0001
##  NAS - CEI -3.266583e-03 0.001288704  565.02  -2.535  0.0558
##  NAS - CAT -3.364253e-03 0.001476169  435.71  -2.279  0.1045
##  CEI - CAT -9.766998e-05 0.001118916  319.83  -0.087  0.9998
## 
## coral_id = 126*:
##  contrast       estimate          SE      df t.ratio p.value
##  BIM - NAS -2.628072e-03 0.002012710 1112.68  -1.306  0.5594
##  BIM - CEI -4.520036e-03 0.001767457 1228.41  -2.557  0.0520
##  BIM - CAT -4.316095e-03 0.001908460 1003.16  -2.262  0.1079
##  NAS - CEI -1.891964e-03 0.001288704  565.02  -1.468  0.4576
##  NAS - CAT -1.688023e-03 0.001476169  435.71  -1.144  0.6628
##  CEI - CAT  2.039408e-04 0.001118916  319.83   0.182  0.9978
## 
## coral_id = 133:
##  contrast       estimate          SE      df t.ratio p.value
##  BIM - NAS -7.473825e-03 0.002012710 1112.68  -3.713  0.0012
##  BIM - CEI -1.210872e-02 0.001767457 1228.41  -6.851  <.0001
##  BIM - CAT -6.650056e-03 0.001908460 1003.16  -3.485  0.0029
##  NAS - CEI -4.634894e-03 0.001288704  565.02  -3.597  0.0020
##  NAS - CAT  8.237699e-04 0.001476169  435.71   0.558  0.9443
##  CEI - CAT  5.458664e-03 0.001118916  319.83   4.879  <.0001
## 
## coral_id = 134:
##  contrast       estimate          SE      df t.ratio p.value
##  BIM - NAS -4.623339e-03 0.002012710 1112.68  -2.297  0.0993
##  BIM - CEI -7.687183e-03 0.001767457 1228.41  -4.349  0.0001
##  BIM - CAT -1.600788e-03 0.001908460 1003.16  -0.839  0.8360
##  NAS - CEI -3.063844e-03 0.001288704  565.02  -2.377  0.0826
##  NAS - CAT  3.022551e-03 0.001476169  435.71   2.048  0.1723
##  CEI - CAT  6.086395e-03 0.001118916  319.83   5.440  <.0001
## 
## coral_id = 42:
##  contrast       estimate          SE      df t.ratio p.value
##  BIM - NAS -2.453453e-03 0.002378894 1257.61  -1.031  0.7311
##  BIM - CEI -3.459071e-03 0.002175325 1344.69  -1.590  0.3846
##  BIM - CAT -3.075479e-03 0.002291365 1194.37  -1.342  0.5361
##  NAS - CEI -1.005618e-03 0.001288704  565.02  -0.780  0.8634
##  NAS - CAT -6.220260e-04 0.001476169  435.71  -0.421  0.9748
##  CEI - CAT  3.835923e-04 0.001118916  319.83   0.343  0.9861
## 
## coral_id = 43:
##  contrast       estimate          SE      df t.ratio p.value
##  BIM - NAS -5.816761e-03 0.002012710 1112.68  -2.890  0.0205
##  BIM - CEI -8.109500e-03 0.001804798 1197.32  -4.493  <.0001
##  BIM - CAT -1.051001e-02 0.001908460 1003.16  -5.507  <.0001
##  NAS - CEI -2.292739e-03 0.001339459  554.84  -1.712  0.3185
##  NAS - CAT -4.693254e-03 0.001476169  435.71  -3.179  0.0086
##  CEI - CAT -2.400514e-03 0.001177016  329.66  -2.039  0.1757
## 
## coral_id = 44:
##  contrast       estimate          SE      df t.ratio p.value
##  BIM - NAS -3.847552e-03 0.002012710 1112.68  -1.912  0.2237
##  BIM - CEI -6.570596e-03 0.001767457 1228.41  -3.718  0.0012
##  BIM - CAT -6.399821e-03 0.001908460 1003.16  -3.353  0.0046
##  NAS - CEI -2.723044e-03 0.001288704  565.02  -2.113  0.1502
##  NAS - CAT -2.552270e-03 0.001476169  435.71  -1.729  0.3099
##  CEI - CAT  1.707746e-04 0.001118916  319.83   0.153  0.9987
## 
## coral_id = 45:
##  contrast       estimate          SE      df t.ratio p.value
##  BIM - NAS -3.134460e-03 0.002157326 1183.96  -1.453  0.4666
##  BIM - CEI -5.408266e-03 0.001930532 1293.68  -2.801  0.0265
##  BIM - CAT -3.818640e-03 0.002060405 1095.77  -1.853  0.2491
##  NAS - CEI -2.273806e-03 0.001288704  565.02  -1.764  0.2917
##  NAS - CAT -6.841797e-04 0.001476169  435.71  -0.463  0.9669
##  CEI - CAT  1.589626e-03 0.001118916  319.83   1.421  0.4873
## 
## coral_id = 49:
##  contrast       estimate          SE      df t.ratio p.value
##  BIM - NAS -2.003768e-03 0.002012710 1112.68  -0.996  0.7520
##  BIM - CEI -5.830843e-03 0.001774853 1222.36  -3.285  0.0058
##  BIM - CAT -4.239750e-03 0.001908460 1003.16  -2.222  0.1181
##  NAS - CEI -3.827076e-03 0.001298830  562.87  -2.947  0.0176
##  NAS - CAT -2.235982e-03 0.001476169  435.71  -1.515  0.4295
##  CEI - CAT  1.591094e-03 0.001130564  321.89   1.407  0.4956
## 
## coral_id = 51:
##  contrast       estimate          SE      df t.ratio p.value
##  BIM - NAS -1.849198e-03 0.002012710 1112.68  -0.919  0.7948
##  BIM - CEI -1.482566e-03 0.001767457 1228.41  -0.839  0.8359
##  BIM - CAT -2.998129e-03 0.001908460 1003.16  -1.571  0.3958
##  NAS - CEI  3.666326e-04 0.001288704  565.02   0.284  0.9920
##  NAS - CAT -1.148930e-03 0.001476169  435.71  -0.778  0.8643
##  CEI - CAT -1.515563e-03 0.001118916  319.83  -1.354  0.5289
## 
## coral_id = 52:
##  contrast       estimate          SE      df t.ratio p.value
##  BIM - NAS -6.127458e-03 0.002012710 1112.68  -3.044  0.0127
##  BIM - CEI -6.070006e-03 0.001767457 1228.41  -3.434  0.0034
##  BIM - CAT -5.838338e-03 0.001908460 1003.16  -3.059  0.0122
##  NAS - CEI  5.745148e-05 0.001288704  565.02   0.045  1.0000
##  NAS - CAT  2.891196e-04 0.001476169  435.71   0.196  0.9973
##  CEI - CAT  2.316682e-04 0.001118916  319.83   0.207  0.9969
## 
## coral_id = 53:
##  contrast       estimate          SE      df t.ratio p.value
##  BIM - NAS -1.622877e-03 0.002012710 1112.68  -0.806  0.8515
##  BIM - CEI -2.285055e-03 0.001767457 1228.41  -1.293  0.5677
##  BIM - CAT -3.422904e-04 0.001908460 1003.16  -0.179  0.9980
##  NAS - CEI -6.621783e-04 0.001288704  565.02  -0.514  0.9558
##  NAS - CAT  1.280586e-03 0.001476169  435.71   0.868  0.8216
##  CEI - CAT  1.942764e-03 0.001118916  319.83   1.736  0.3066
## 
## coral_id = 54:
##  contrast       estimate          SE      df t.ratio p.value
##  BIM - NAS -2.480340e-03 0.002012710 1112.68  -1.232  0.6064
##  BIM - CEI -1.029240e-03 0.001767457 1228.41  -0.582  0.9374
##  BIM - CAT -2.113925e-03 0.001908460 1003.16  -1.108  0.6849
##  NAS - CEI  1.451100e-03 0.001288704  565.02   1.126  0.6736
##  NAS - CAT  3.664155e-04 0.001476169  435.71   0.248  0.9946
##  CEI - CAT -1.084685e-03 0.001118916  319.83  -0.969  0.7670
## 
## coral_id = 55:
##  contrast       estimate          SE      df t.ratio p.value
##  BIM - NAS -3.443171e-03 0.002012710 1112.68  -1.711  0.3185
##  BIM - CEI -4.557350e-03 0.001767457 1228.41  -2.578  0.0492
##  BIM - CAT -4.181205e-03 0.001908460 1003.16  -2.191  0.1264
##  NAS - CEI -1.114179e-03 0.001288704  565.02  -0.865  0.8231
##  NAS - CAT -7.380334e-04 0.001476169  435.71  -0.500  0.9590
##  CEI - CAT  3.761456e-04 0.001118916  319.83   0.336  0.9869
## 
## coral_id = 94:
##  contrast       estimate          SE      df t.ratio p.value
##  BIM - NAS -6.464016e-03 0.002012710 1112.68  -3.212  0.0074
##  BIM - CEI -4.192770e-03 0.001767457 1228.41  -2.372  0.0830
##  BIM - CAT -2.390136e-03 0.001908460 1003.16  -1.252  0.5936
##  NAS - CEI  2.271246e-03 0.001288704  565.02   1.762  0.2927
##  NAS - CAT  4.073880e-03 0.001476169  435.71   2.760  0.0306
##  CEI - CAT  1.802634e-03 0.001118916  319.83   1.611  0.3738
## 
## coral_id = 95:
##  contrast       estimate          SE      df t.ratio p.value
##  BIM - NAS -2.949164e-03 0.002012710 1112.68  -1.465  0.4590
##  BIM - CEI -4.120689e-03 0.001773336 1229.64  -2.324  0.0932
##  BIM - CAT -9.607434e-04 0.001908460 1003.16  -0.503  0.9583
##  NAS - CEI -1.171526e-03 0.001296756  572.66  -0.903  0.8030
##  NAS - CAT  1.988420e-03 0.001476169  435.71   1.347  0.5335
##  CEI - CAT  3.159946e-03 0.001128181  327.57   2.801  0.0275
## 
## coral_id = 96:
##  contrast       estimate          SE      df t.ratio p.value
##  BIM - NAS -7.005596e-03 0.002012710 1112.68  -3.481  0.0029
##  BIM - CEI -6.620238e-03 0.001767457 1228.41  -3.746  0.0011
##  BIM - CAT -4.099512e-03 0.001908460 1003.16  -2.148  0.1388
##  NAS - CEI  3.853579e-04 0.001288704  565.02   0.299  0.9907
##  NAS - CAT  2.906084e-03 0.001476169  435.71   1.969  0.2015
##  CEI - CAT  2.520726e-03 0.001118916  319.83   2.253  0.1115
## 
## P value adjustment: tukey method for comparing a family of 4 estimates
## coral_id = 100*:
##  contrast       estimate          SE      df t.ratio p.value .group
##  BIM - CEI -5.275326e-03 0.001767457 1228.41  -2.985  0.0153  12   
##  BIM - CAT -4.604430e-03 0.001909909 1004.76  -2.411  0.0757  1    
##  NAS - CEI -3.242134e-03 0.001288704  565.02  -2.516  0.0586  12   
##  NAS - CAT -2.571238e-03 0.001478042  437.87  -1.740  0.3044  12   
##  BIM - NAS -2.033192e-03 0.002012710 1112.68  -1.010  0.7435  12   
##  CEI - CAT  6.708958e-04 0.001121386  322.76   0.598  0.9325   2   
## 
## coral_id = 101*:
##  contrast       estimate          SE      df t.ratio p.value .group
##  BIM - CEI -8.541967e-03 0.001930532 1293.68  -4.425  0.0001  1    
##  BIM - CAT -8.238266e-03 0.002060405 1095.77  -3.998  0.0004  1    
##  BIM - NAS -6.011276e-03 0.002157326 1183.96  -2.786  0.0277  12   
##  NAS - CEI -2.530691e-03 0.001288704  565.02  -1.964  0.2031  12   
##  NAS - CAT -2.226990e-03 0.001476169  435.71  -1.509  0.4332  12   
##  CEI - CAT  3.037014e-04 0.001118916  319.83   0.271  0.9930   2   
## 
## coral_id = 125:
##  contrast       estimate          SE      df t.ratio p.value .group
##  BIM - CAT -8.737047e-03 0.001908460 1003.16  -4.578  <.0001  1    
##  BIM - CEI -8.639377e-03 0.001767457 1228.41  -4.888  <.0001  1    
##  BIM - NAS -5.372794e-03 0.002012710 1112.68  -2.669  0.0385  12   
##  NAS - CAT -3.364253e-03 0.001476169  435.71  -2.279  0.1045  12   
##  NAS - CEI -3.266583e-03 0.001288704  565.02  -2.535  0.0558  12   
##  CEI - CAT -9.766998e-05 0.001118916  319.83  -0.087  0.9998   2   
## 
## coral_id = 126*:
##  contrast       estimate          SE      df t.ratio p.value .group
##  BIM - CEI -4.520036e-03 0.001767457 1228.41  -2.557  0.0520  1    
##  BIM - CAT -4.316095e-03 0.001908460 1003.16  -2.262  0.1079  1    
##  BIM - NAS -2.628072e-03 0.002012710 1112.68  -1.306  0.5594  1    
##  NAS - CEI -1.891964e-03 0.001288704  565.02  -1.468  0.4576  1    
##  NAS - CAT -1.688023e-03 0.001476169  435.71  -1.144  0.6628  1    
##  CEI - CAT  2.039408e-04 0.001118916  319.83   0.182  0.9978  1    
## 
## coral_id = 133:
##  contrast       estimate          SE      df t.ratio p.value .group
##  BIM - CEI -1.210872e-02 0.001767457 1228.41  -6.851  <.0001  1    
##  BIM - NAS -7.473825e-03 0.002012710 1112.68  -3.713  0.0012   23  
##  BIM - CAT -6.650056e-03 0.001908460 1003.16  -3.485  0.0029   2   
##  NAS - CEI -4.634894e-03 0.001288704  565.02  -3.597  0.0020   2   
##  NAS - CAT  8.237699e-04 0.001476169  435.71   0.558  0.9443    3  
##  CEI - CAT  5.458664e-03 0.001118916  319.83   4.879  <.0001     4 
## 
## coral_id = 134:
##  contrast       estimate          SE      df t.ratio p.value .group
##  BIM - CEI -7.687183e-03 0.001767457 1228.41  -4.349  0.0001  1    
##  BIM - NAS -4.623339e-03 0.002012710 1112.68  -2.297  0.0993  123  
##  NAS - CEI -3.063844e-03 0.001288704  565.02  -2.377  0.0826  12   
##  BIM - CAT -1.600788e-03 0.001908460 1003.16  -0.839  0.8360   23  
##  NAS - CAT  3.022551e-03 0.001476169  435.71   2.048  0.1723    34 
##  CEI - CAT  6.086395e-03 0.001118916  319.83   5.440  <.0001     4 
## 
## coral_id = 42:
##  contrast       estimate          SE      df t.ratio p.value .group
##  BIM - CEI -3.459071e-03 0.002175325 1344.69  -1.590  0.3846  1    
##  BIM - CAT -3.075479e-03 0.002291365 1194.37  -1.342  0.5361  1    
##  BIM - NAS -2.453453e-03 0.002378894 1257.61  -1.031  0.7311  1    
##  NAS - CEI -1.005618e-03 0.001288704  565.02  -0.780  0.8634  1    
##  NAS - CAT -6.220260e-04 0.001476169  435.71  -0.421  0.9748  1    
##  CEI - CAT  3.835923e-04 0.001118916  319.83   0.343  0.9861  1    
## 
## coral_id = 43:
##  contrast       estimate          SE      df t.ratio p.value .group
##  BIM - CAT -1.051001e-02 0.001908460 1003.16  -5.507  <.0001  1    
##  BIM - CEI -8.109500e-03 0.001804798 1197.32  -4.493  <.0001  12   
##  BIM - NAS -5.816761e-03 0.002012710 1112.68  -2.890  0.0205   23  
##  NAS - CAT -4.693254e-03 0.001476169  435.71  -3.179  0.0086   23  
##  CEI - CAT -2.400514e-03 0.001177016  329.66  -2.039  0.1757   23  
##  NAS - CEI -2.292739e-03 0.001339459  554.84  -1.712  0.3185    3  
## 
## coral_id = 44:
##  contrast       estimate          SE      df t.ratio p.value .group
##  BIM - CEI -6.570596e-03 0.001767457 1228.41  -3.718  0.0012  1    
##  BIM - CAT -6.399821e-03 0.001908460 1003.16  -3.353  0.0046  1    
##  BIM - NAS -3.847552e-03 0.002012710 1112.68  -1.912  0.2237  12   
##  NAS - CEI -2.723044e-03 0.001288704  565.02  -2.113  0.1502  12   
##  NAS - CAT -2.552270e-03 0.001476169  435.71  -1.729  0.3099  12   
##  CEI - CAT  1.707746e-04 0.001118916  319.83   0.153  0.9987   2   
## 
## coral_id = 45:
##  contrast       estimate          SE      df t.ratio p.value .group
##  BIM - CEI -5.408266e-03 0.001930532 1293.68  -2.801  0.0265  1    
##  BIM - CAT -3.818640e-03 0.002060405 1095.77  -1.853  0.2491  12   
##  BIM - NAS -3.134460e-03 0.002157326 1183.96  -1.453  0.4666  12   
##  NAS - CEI -2.273806e-03 0.001288704  565.02  -1.764  0.2917  12   
##  NAS - CAT -6.841797e-04 0.001476169  435.71  -0.463  0.9669  12   
##  CEI - CAT  1.589626e-03 0.001118916  319.83   1.421  0.4873   2   
## 
## coral_id = 49:
##  contrast       estimate          SE      df t.ratio p.value .group
##  BIM - CEI -5.830843e-03 0.001774853 1222.36  -3.285  0.0058  1    
##  BIM - CAT -4.239750e-03 0.001908460 1003.16  -2.222  0.1181  12   
##  NAS - CEI -3.827076e-03 0.001298830  562.87  -2.947  0.0176  123  
##  NAS - CAT -2.235982e-03 0.001476169  435.71  -1.515  0.4295  12   
##  BIM - NAS -2.003768e-03 0.002012710 1112.68  -0.996  0.7520   23  
##  CEI - CAT  1.591094e-03 0.001130564  321.89   1.407  0.4956    3  
## 
## coral_id = 51:
##  contrast       estimate          SE      df t.ratio p.value .group
##  BIM - CAT -2.998129e-03 0.001908460 1003.16  -1.571  0.3958  1    
##  BIM - NAS -1.849198e-03 0.002012710 1112.68  -0.919  0.7948  1    
##  CEI - CAT -1.515563e-03 0.001118916  319.83  -1.354  0.5289  1    
##  BIM - CEI -1.482566e-03 0.001767457 1228.41  -0.839  0.8359  1    
##  NAS - CAT -1.148930e-03 0.001476169  435.71  -0.778  0.8643  1    
##  NAS - CEI  3.666326e-04 0.001288704  565.02   0.284  0.9920  1    
## 
## coral_id = 52:
##  contrast       estimate          SE      df t.ratio p.value .group
##  BIM - NAS -6.127458e-03 0.002012710 1112.68  -3.044  0.0127  1234 
##  BIM - CEI -6.070006e-03 0.001767457 1228.41  -3.434  0.0034  12   
##  BIM - CAT -5.838338e-03 0.001908460 1003.16  -3.059  0.0122  1 3  
##  NAS - CEI  5.745148e-05 0.001288704  565.02   0.045  1.0000    34 
##  CEI - CAT  2.316682e-04 0.001118916  319.83   0.207  0.9969   2 4 
##  NAS - CAT  2.891196e-04 0.001476169  435.71   0.196  0.9973   2 4 
## 
## coral_id = 53:
##  contrast       estimate          SE      df t.ratio p.value .group
##  BIM - CEI -2.285055e-03 0.001767457 1228.41  -1.293  0.5677  1    
##  BIM - NAS -1.622877e-03 0.002012710 1112.68  -0.806  0.8515  1    
##  NAS - CEI -6.621783e-04 0.001288704  565.02  -0.514  0.9558  1    
##  BIM - CAT -3.422904e-04 0.001908460 1003.16  -0.179  0.9980  1    
##  NAS - CAT  1.280586e-03 0.001476169  435.71   0.868  0.8216  1    
##  CEI - CAT  1.942764e-03 0.001118916  319.83   1.736  0.3066  1    
## 
## coral_id = 54:
##  contrast       estimate          SE      df t.ratio p.value .group
##  BIM - NAS -2.480340e-03 0.002012710 1112.68  -1.232  0.6064  1    
##  BIM - CAT -2.113925e-03 0.001908460 1003.16  -1.108  0.6849  1    
##  CEI - CAT -1.084685e-03 0.001118916  319.83  -0.969  0.7670  1    
##  BIM - CEI -1.029240e-03 0.001767457 1228.41  -0.582  0.9374  1    
##  NAS - CAT  3.664155e-04 0.001476169  435.71   0.248  0.9946  1    
##  NAS - CEI  1.451100e-03 0.001288704  565.02   1.126  0.6736  1    
## 
## coral_id = 55:
##  contrast       estimate          SE      df t.ratio p.value .group
##  BIM - CEI -4.557350e-03 0.001767457 1228.41  -2.578  0.0492  1    
##  BIM - CAT -4.181205e-03 0.001908460 1003.16  -2.191  0.1264  1    
##  BIM - NAS -3.443171e-03 0.002012710 1112.68  -1.711  0.3185  1    
##  NAS - CEI -1.114179e-03 0.001288704  565.02  -0.865  0.8231  1    
##  NAS - CAT -7.380334e-04 0.001476169  435.71  -0.500  0.9590  1    
##  CEI - CAT  3.761456e-04 0.001118916  319.83   0.336  0.9869  1    
## 
## coral_id = 94:
##  contrast       estimate          SE      df t.ratio p.value .group
##  BIM - NAS -6.464016e-03 0.002012710 1112.68  -3.212  0.0074  1    
##  BIM - CEI -4.192770e-03 0.001767457 1228.41  -2.372  0.0830  12   
##  BIM - CAT -2.390136e-03 0.001908460 1003.16  -1.252  0.5936  123  
##  CEI - CAT  1.802634e-03 0.001118916  319.83   1.611  0.3738   234 
##  NAS - CEI  2.271246e-03 0.001288704  565.02   1.762  0.2927    34 
##  NAS - CAT  4.073880e-03 0.001476169  435.71   2.760  0.0306     4 
## 
## coral_id = 95:
##  contrast       estimate          SE      df t.ratio p.value .group
##  BIM - CEI -4.120689e-03 0.001773336 1229.64  -2.324  0.0932  1    
##  BIM - NAS -2.949164e-03 0.002012710 1112.68  -1.465  0.4590  12   
##  NAS - CEI -1.171526e-03 0.001296756  572.66  -0.903  0.8030  12   
##  BIM - CAT -9.607434e-04 0.001908460 1003.16  -0.503  0.9583  12   
##  NAS - CAT  1.988420e-03 0.001476169  435.71   1.347  0.5335  12   
##  CEI - CAT  3.159946e-03 0.001128181  327.57   2.801  0.0275   2   
## 
## coral_id = 96:
##  contrast       estimate          SE      df t.ratio p.value .group
##  BIM - NAS -7.005596e-03 0.002012710 1112.68  -3.481  0.0029  12   
##  BIM - CEI -6.620238e-03 0.001767457 1228.41  -3.746  0.0011  1    
##  BIM - CAT -4.099512e-03 0.001908460 1003.16  -2.148  0.1388  12   
##  NAS - CEI  3.853579e-04 0.001288704  565.02   0.299  0.9907   23  
##  CEI - CAT  2.520726e-03 0.001118916  319.83   2.253  0.1115    3  
##  NAS - CAT  2.906084e-03 0.001476169  435.71   1.969  0.2015    3  
## 
## P value adjustment: tukey method for comparing a family of 4 estimates 
## P value adjustment: tukey method for comparing a family of 6 estimates 
## significance level used: alpha = 0.05
## coral_id = 100*:
##  contrast       estimate          SE      df t.ratio p.value .group
##  BIM - CEI -5.275326e-03 0.001767457 1228.41  -2.985  0.0153  12   
##  BIM - CAT -4.604430e-03 0.001909909 1004.76  -2.411  0.0757  1    
##  NAS - CEI -3.242134e-03 0.001288704  565.02  -2.516  0.0586  12   
##  NAS - CAT -2.571238e-03 0.001478042  437.87  -1.740  0.3044  12   
##  BIM - NAS -2.033192e-03 0.002012710 1112.68  -1.010  0.7435  12   
##  CEI - CAT  6.708958e-04 0.001121386  322.76   0.598  0.9325   2   
## 
## coral_id = 101*:
##  contrast       estimate          SE      df t.ratio p.value .group
##  BIM - CEI -8.541967e-03 0.001930532 1293.68  -4.425  0.0001  1    
##  BIM - CAT -8.238266e-03 0.002060405 1095.77  -3.998  0.0004  1    
##  BIM - NAS -6.011276e-03 0.002157326 1183.96  -2.786  0.0277  12   
##  NAS - CEI -2.530691e-03 0.001288704  565.02  -1.964  0.2031  12   
##  NAS - CAT -2.226990e-03 0.001476169  435.71  -1.509  0.4332  12   
##  CEI - CAT  3.037014e-04 0.001118916  319.83   0.271  0.9930   2   
## 
## coral_id = 125:
##  contrast       estimate          SE      df t.ratio p.value .group
##  BIM - CAT -8.737047e-03 0.001908460 1003.16  -4.578  <.0001  1    
##  BIM - CEI -8.639377e-03 0.001767457 1228.41  -4.888  <.0001  1    
##  BIM - NAS -5.372794e-03 0.002012710 1112.68  -2.669  0.0385  12   
##  NAS - CAT -3.364253e-03 0.001476169  435.71  -2.279  0.1045  12   
##  NAS - CEI -3.266583e-03 0.001288704  565.02  -2.535  0.0558  12   
##  CEI - CAT -9.766998e-05 0.001118916  319.83  -0.087  0.9998   2   
## 
## coral_id = 126*:
##  contrast       estimate          SE      df t.ratio p.value .group
##  BIM - CEI -4.520036e-03 0.001767457 1228.41  -2.557  0.0520  1    
##  BIM - CAT -4.316095e-03 0.001908460 1003.16  -2.262  0.1079  1    
##  BIM - NAS -2.628072e-03 0.002012710 1112.68  -1.306  0.5594  1    
##  NAS - CEI -1.891964e-03 0.001288704  565.02  -1.468  0.4576  1    
##  NAS - CAT -1.688023e-03 0.001476169  435.71  -1.144  0.6628  1    
##  CEI - CAT  2.039408e-04 0.001118916  319.83   0.182  0.9978  1    
## 
## coral_id = 133:
##  contrast       estimate          SE      df t.ratio p.value .group
##  BIM - CEI -1.210872e-02 0.001767457 1228.41  -6.851  <.0001  1    
##  BIM - NAS -7.473825e-03 0.002012710 1112.68  -3.713  0.0012   23  
##  BIM - CAT -6.650056e-03 0.001908460 1003.16  -3.485  0.0029   2   
##  NAS - CEI -4.634894e-03 0.001288704  565.02  -3.597  0.0020   2   
##  NAS - CAT  8.237699e-04 0.001476169  435.71   0.558  0.9443    3  
##  CEI - CAT  5.458664e-03 0.001118916  319.83   4.879  <.0001     4 
## 
## coral_id = 134:
##  contrast       estimate          SE      df t.ratio p.value .group
##  BIM - CEI -7.687183e-03 0.001767457 1228.41  -4.349  0.0001  1    
##  BIM - NAS -4.623339e-03 0.002012710 1112.68  -2.297  0.0993  123  
##  NAS - CEI -3.063844e-03 0.001288704  565.02  -2.377  0.0826  12   
##  BIM - CAT -1.600788e-03 0.001908460 1003.16  -0.839  0.8360   23  
##  NAS - CAT  3.022551e-03 0.001476169  435.71   2.048  0.1723    34 
##  CEI - CAT  6.086395e-03 0.001118916  319.83   5.440  <.0001     4 
## 
## coral_id = 42:
##  contrast       estimate          SE      df t.ratio p.value .group
##  BIM - CEI -3.459071e-03 0.002175325 1344.69  -1.590  0.3846  1    
##  BIM - CAT -3.075479e-03 0.002291365 1194.37  -1.342  0.5361  1    
##  BIM - NAS -2.453453e-03 0.002378894 1257.61  -1.031  0.7311  1    
##  NAS - CEI -1.005618e-03 0.001288704  565.02  -0.780  0.8634  1    
##  NAS - CAT -6.220260e-04 0.001476169  435.71  -0.421  0.9748  1    
##  CEI - CAT  3.835923e-04 0.001118916  319.83   0.343  0.9861  1    
## 
## coral_id = 43:
##  contrast       estimate          SE      df t.ratio p.value .group
##  BIM - CAT -1.051001e-02 0.001908460 1003.16  -5.507  <.0001  1    
##  BIM - CEI -8.109500e-03 0.001804798 1197.32  -4.493  <.0001  12   
##  BIM - NAS -5.816761e-03 0.002012710 1112.68  -2.890  0.0205   23  
##  NAS - CAT -4.693254e-03 0.001476169  435.71  -3.179  0.0086   23  
##  CEI - CAT -2.400514e-03 0.001177016  329.66  -2.039  0.1757   23  
##  NAS - CEI -2.292739e-03 0.001339459  554.84  -1.712  0.3185    3  
## 
## coral_id = 44:
##  contrast       estimate          SE      df t.ratio p.value .group
##  BIM - CEI -6.570596e-03 0.001767457 1228.41  -3.718  0.0012  1    
##  BIM - CAT -6.399821e-03 0.001908460 1003.16  -3.353  0.0046  1    
##  BIM - NAS -3.847552e-03 0.002012710 1112.68  -1.912  0.2237  12   
##  NAS - CEI -2.723044e-03 0.001288704  565.02  -2.113  0.1502  12   
##  NAS - CAT -2.552270e-03 0.001476169  435.71  -1.729  0.3099  12   
##  CEI - CAT  1.707746e-04 0.001118916  319.83   0.153  0.9987   2   
## 
## coral_id = 45:
##  contrast       estimate          SE      df t.ratio p.value .group
##  BIM - CEI -5.408266e-03 0.001930532 1293.68  -2.801  0.0265  1    
##  BIM - CAT -3.818640e-03 0.002060405 1095.77  -1.853  0.2491  12   
##  BIM - NAS -3.134460e-03 0.002157326 1183.96  -1.453  0.4666  12   
##  NAS - CEI -2.273806e-03 0.001288704  565.02  -1.764  0.2917  12   
##  NAS - CAT -6.841797e-04 0.001476169  435.71  -0.463  0.9669  12   
##  CEI - CAT  1.589626e-03 0.001118916  319.83   1.421  0.4873   2   
## 
## coral_id = 49:
##  contrast       estimate          SE      df t.ratio p.value .group
##  BIM - CEI -5.830843e-03 0.001774853 1222.36  -3.285  0.0058  1    
##  BIM - CAT -4.239750e-03 0.001908460 1003.16  -2.222  0.1181  12   
##  NAS - CEI -3.827076e-03 0.001298830  562.87  -2.947  0.0176  123  
##  NAS - CAT -2.235982e-03 0.001476169  435.71  -1.515  0.4295  12   
##  BIM - NAS -2.003768e-03 0.002012710 1112.68  -0.996  0.7520   23  
##  CEI - CAT  1.591094e-03 0.001130564  321.89   1.407  0.4956    3  
## 
## coral_id = 51:
##  contrast       estimate          SE      df t.ratio p.value .group
##  BIM - CAT -2.998129e-03 0.001908460 1003.16  -1.571  0.3958  1    
##  BIM - NAS -1.849198e-03 0.002012710 1112.68  -0.919  0.7948  1    
##  CEI - CAT -1.515563e-03 0.001118916  319.83  -1.354  0.5289  1    
##  BIM - CEI -1.482566e-03 0.001767457 1228.41  -0.839  0.8359  1    
##  NAS - CAT -1.148930e-03 0.001476169  435.71  -0.778  0.8643  1    
##  NAS - CEI  3.666326e-04 0.001288704  565.02   0.284  0.9920  1    
## 
## coral_id = 52:
##  contrast       estimate          SE      df t.ratio p.value .group
##  BIM - NAS -6.127458e-03 0.002012710 1112.68  -3.044  0.0127  1234 
##  BIM - CEI -6.070006e-03 0.001767457 1228.41  -3.434  0.0034  12   
##  BIM - CAT -5.838338e-03 0.001908460 1003.16  -3.059  0.0122  1 3  
##  NAS - CEI  5.745148e-05 0.001288704  565.02   0.045  1.0000    34 
##  CEI - CAT  2.316682e-04 0.001118916  319.83   0.207  0.9969   2 4 
##  NAS - CAT  2.891196e-04 0.001476169  435.71   0.196  0.9973   2 4 
## 
## coral_id = 53:
##  contrast       estimate          SE      df t.ratio p.value .group
##  BIM - CEI -2.285055e-03 0.001767457 1228.41  -1.293  0.5677  1    
##  BIM - NAS -1.622877e-03 0.002012710 1112.68  -0.806  0.8515  1    
##  NAS - CEI -6.621783e-04 0.001288704  565.02  -0.514  0.9558  1    
##  BIM - CAT -3.422904e-04 0.001908460 1003.16  -0.179  0.9980  1    
##  NAS - CAT  1.280586e-03 0.001476169  435.71   0.868  0.8216  1    
##  CEI - CAT  1.942764e-03 0.001118916  319.83   1.736  0.3066  1    
## 
## coral_id = 54:
##  contrast       estimate          SE      df t.ratio p.value .group
##  BIM - NAS -2.480340e-03 0.002012710 1112.68  -1.232  0.6064  1    
##  BIM - CAT -2.113925e-03 0.001908460 1003.16  -1.108  0.6849  1    
##  CEI - CAT -1.084685e-03 0.001118916  319.83  -0.969  0.7670  1    
##  BIM - CEI -1.029240e-03 0.001767457 1228.41  -0.582  0.9374  1    
##  NAS - CAT  3.664155e-04 0.001476169  435.71   0.248  0.9946  1    
##  NAS - CEI  1.451100e-03 0.001288704  565.02   1.126  0.6736  1    
## 
## coral_id = 55:
##  contrast       estimate          SE      df t.ratio p.value .group
##  BIM - CEI -4.557350e-03 0.001767457 1228.41  -2.578  0.0492  1    
##  BIM - CAT -4.181205e-03 0.001908460 1003.16  -2.191  0.1264  1    
##  BIM - NAS -3.443171e-03 0.002012710 1112.68  -1.711  0.3185  1    
##  NAS - CEI -1.114179e-03 0.001288704  565.02  -0.865  0.8231  1    
##  NAS - CAT -7.380334e-04 0.001476169  435.71  -0.500  0.9590  1    
##  CEI - CAT  3.761456e-04 0.001118916  319.83   0.336  0.9869  1    
## 
## coral_id = 94:
##  contrast       estimate          SE      df t.ratio p.value .group
##  BIM - NAS -6.464016e-03 0.002012710 1112.68  -3.212  0.0074  1    
##  BIM - CEI -4.192770e-03 0.001767457 1228.41  -2.372  0.0830  12   
##  BIM - CAT -2.390136e-03 0.001908460 1003.16  -1.252  0.5936  123  
##  CEI - CAT  1.802634e-03 0.001118916  319.83   1.611  0.3738   234 
##  NAS - CEI  2.271246e-03 0.001288704  565.02   1.762  0.2927    34 
##  NAS - CAT  4.073880e-03 0.001476169  435.71   2.760  0.0306     4 
## 
## coral_id = 95:
##  contrast       estimate          SE      df t.ratio p.value .group
##  BIM - CEI -4.120689e-03 0.001773336 1229.64  -2.324  0.0932  1    
##  BIM - NAS -2.949164e-03 0.002012710 1112.68  -1.465  0.4590  12   
##  NAS - CEI -1.171526e-03 0.001296756  572.66  -0.903  0.8030  12   
##  BIM - CAT -9.607434e-04 0.001908460 1003.16  -0.503  0.9583  12   
##  NAS - CAT  1.988420e-03 0.001476169  435.71   1.347  0.5335  12   
##  CEI - CAT  3.159946e-03 0.001128181  327.57   2.801  0.0275   2   
## 
## coral_id = 96:
##  contrast       estimate          SE      df t.ratio p.value .group
##  BIM - NAS -7.005596e-03 0.002012710 1112.68  -3.481  0.0029  12   
##  BIM - CEI -6.620238e-03 0.001767457 1228.41  -3.746  0.0011  1    
##  BIM - CAT -4.099512e-03 0.001908460 1003.16  -2.148  0.1388  12   
##  NAS - CEI  3.853579e-04 0.001288704  565.02   0.299  0.9907   23  
##  CEI - CAT  2.520726e-03 0.001118916  319.83   2.253  0.1115    3  
##  NAS - CAT  2.906084e-03 0.001476169  435.71   1.969  0.2015    3  
## 
## P value adjustment: tukey method for comparing a family of 4 estimates 
## P value adjustment: tukey method for comparing a family of 6 estimates 
## significance level used: alpha = 0.05

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